One measurement, read differently in every industry.
Fluid Silicon matters most where a device has to run for years, often out of reach, and where a timing failure is expensive. Each industry reads the same measurement as something different: watts, uptime, a maintenance schedule, evidence.
Industry
Board & System Makers
Every card you ship carries the vendor's worst-case margin, because until now there was no way to measure each one. Characterize every card before it leaves, show what it sustains, and give customers a health signal for the life of the board.
Ship what you measured
A timing and variation report per card, not a datasheet corner.
Fewer field returns
Tail cards found at incoming, before they fail at a customer.
A differentiated product
Cards that carry their own health metric for the life of the board.
Feedback to the silicon vendor
Measured evidence for yield, warranty and supply conversations.
Industry
Aerospace & Defense
Satellites, aircraft, radar and remote ground stations hold FPGAs to strict reliability bounds under tight power budgets, often with no chance of service. Fluid Silicon starts before deployment, with a per-element qualification of every board, then lets fielded systems watch their own timing health and plan around degradation. Tuning and repair come later, and only where the program's configuration control allows.
Qualification first
Every board characterized per element before it ships, with weak resources mapped and spares identified.
Read-only monitoring
The fielded system checks its own logic at speed while it runs; nothing changes without approval.
Aging prediction
A time-to-threshold per board, from its own temperature history, for planning replacements and mission life.
Clear about scope
Complements radiation mitigation such as scrubbing and redundancy; does not replace it. Tuning and repair only where configuration control allows.
Industry
Telecommunications
Base stations, edge sites and network appliances run FPGAs for a decade in cabinets that are rarely visited. Timing health turns unplanned site visits into scheduled maintenance.
Fewer site visits
A forecast per board, so a visit fixes what is about to fail.
Planned replacement
Time-to-threshold feeds the maintenance schedule instead of an outage.
Power at the edge
Voltage trimmed to measured need on sites with tight power and cooling.
Multi-generation fleets
One health metric across every vendor and board generation deployed.
Industry
Test & Measurement
Instruments depend on FPGA timing staying what it was when the product shipped. Measure it continuously, and know the moment it isn't.
Measurement integrity
Timing health measured at the source, on every logic element.
Drift detection
A slack history per element, so drift is seen before it reaches a result.
Long product lives
Instruments stay in service for a decade; the health layer stays with them.
Evidence for support
A measured record that shortens the path from a customer report to a cause.
Industry
AI / HPC
Accelerator clusters run hot, at high utilization, for years. FPGAs in the data path must hold timing under those conditions, and every watt they save goes to the accelerators.
Sustained performance
The clock each chip can hold for long periods, measured rather than assumed.
Power for compute
Voltage trimmed on the FPGAs so the budget goes to the accelerators.
Timing faults caught early
A weakening element found before it produces a wrong answer.
Cluster-wide view
One health metric across every card, vendor and generation.
Industry
Data Center & Cloud
FPGAs are infrastructure: SmartNICs, accelerators and network functions across vendors and board generations. At that scale, one unexpected failure does not stay contained.
Hardware reliability
A failing chip caught before it removes capacity or sends errors downstream.
Power efficiency
Each card's voltage trimmed to what its measured timing needs.
Capex deferral
Healthy cards kept in service on evidence; replacements planned before outages.
Vendor feedback
Per-element evidence for returns, warranty and supply decisions.
What every industry shares
The same platform, the same guarantees.
Running long-lived FPGAs somewhere else, such as industrial control or medical imaging? The same platform applies. Tell us about your system.
- Per-element measurement at speed, with every logic element swept in about a second.
- An aging model per chip, fitted to its own temperature history, with a predicted time-to-threshold.
- Read-only first. Tuning and repair are separate steps you turn on, in windows you schedule.
- One health metric across AMD and Altera parts, deployed on your site. Device support
Measure a device at speed, live.
A 30-minute session: in-system slack measurements on a supported AMD or Altera device, and what an evaluation on your boards involves.